{"id":"W2203506320","doi":"10.22230/jem.2008v9n3a402","title":"Mountain Pine Beetle: From Lessons Learned to Community-based Solutions Conference Proceedings","year":2008,"lang":"en","type":"article","venue":"Journal of Ecosystems and Management","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kamloops Art Gallery; University of Northern British Columbia","funders":"","keywords":"Windthrow; Salvage logging; Disturbance (geology); Bark beetle; Biodiversity; Ecology; Coarse woody debris; Context (archaeology); Habitat; Environmental science; Logging; Mountain pine beetle; Climate change; Geography; Agroforestry; Snag; Bark (sound); Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001120346,0.0001691338,0.00033295,0.0001277302,0.0004484777,0.00007626806,0.0003671599,0.00005219792,0.0001612563],"category_scores_gemma":[0.00003403378,0.0001472013,0.00006878928,0.000224346,0.00005923335,0.0003182158,0.0002643657,0.000260863,0.0001170268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002533651,"about_ca_system_score_gemma":0.00001389203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002988354,"about_ca_topic_score_gemma":0.001507679,"domain_scores_codex":[0.998524,0.0001235765,0.0004819372,0.0001790134,0.000406953,0.0002845964],"domain_scores_gemma":[0.9991122,0.00006959403,0.0003405507,0.0002002735,0.00004686344,0.0002305487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001030386,0.004553861,0.2590477,0.003079197,0.001733372,0.001246224,0.02108448,0.009804338,0.08721717,0.01274001,0.5522524,0.04621087],"study_design_scores_gemma":[0.005957252,0.002515292,0.249241,0.002050376,0.0003052006,0.000385793,0.00426638,0.03883681,0.001133985,0.001297536,0.6927187,0.001291667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878486,0.00006169909,0.004230995,0.002780525,0.0002759985,0.0005093674,0.00002094446,0.00002509518,0.004246735],"genre_scores_gemma":[0.9974346,0.0001038564,0.00158154,0.000350146,0.00007605104,0.00002571728,0.000003820126,0.00001649954,0.0004077454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1404663,"threshold_uncertainty_score":0.6002693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05072574323992496,"score_gpt":0.2588238472836493,"score_spread":0.2080981040437243,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}